Irwin King

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 317

Top Venues

Publications

Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying
Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space. CoRR (2024)
Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li
Progress and Opportunities of Foundation Models in Bioinformatics. CoRR (2024)
Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. CoRR (2024)
Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. WWW (Companion Volume) (2024)
Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King
Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization. CoRR (2024)
Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR (2024)
Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. CoRR (2024)
Zexuan Qiu, Jingjing Li, Shijue Huang, Wanjun Zhong, Irwin King
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. CoRR (2024)
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying
Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. KDD (2024)
Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King
An Entropy-based Text Watermarking Detection Method. CoRR (2024)
Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. AAAI (2024)
Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. CoRR (2024)
Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King
Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD (2024)
Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King
An Entropy-based Text Watermarking Detection Method. ACL (1) (2024)
Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI (2024)
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Xinyu Fu, Irwin King
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks. Neural Networks 170 (2024)
Irwin King, Guodong Long, Zenglin Xu, Han Yu
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. WWW (Companion Volume) (2024)
Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King
Entropy-Based Decoding for Retrieval-Augmented Large Language Models. CoRR (2024)
Junfan Li, Zenglin Xu, Zheshun Wu, Irwin King
On the Necessity of Collaboration in Online Model Selection with Decentralized Data. CoRR (2024)
Zixing Song, Ziqiao Meng, Irwin King
A Diffusion-Based Pre-training Framework for Crystal Property Prediction. AAAI (2024)
Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu
An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR (2024)
Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King
Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI (2024)
Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King
MarkLLM: An Open-Source Toolkit for LLM Watermarking. CoRR (2024)
Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King
A Survey on Vision-Language-Action Models for Embodied AI. CoRR (2024)
Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King
Mitigating Large Language Model Hallucination with Faithful Finetuning. CoRR (2024)
Yali Fu, Jindong Li, Jiahong Liu, Qianli Xing, Qi Wang, Irwin King
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection. CoRR (2024)
Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King
Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. KDD (2024)
Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. NAACL-HLT (2024)
Conghao Xiong, Yi Lin, Hao Chen, Joseph Sung, Irwin King
Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification. CoRR (2023)
Menglin Yang, Min Zhou, Lujia Pan, Irwin King
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD (2023)
Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
Generalized Category Discovery with Clustering Assignment Consistency. ICONIP (5) (2023)
Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. CoRR (2023)
Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues. EMNLP (Findings) (2023)
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR (2023)
Yifei Zhang, Yankai Chen, Zixing Song, Irwin King
Contrastive Cross-scale Graph Knowledge Synergy. KDD (2023)
Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King
An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR (2023)
Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) (2023)
Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning. CoRR (2023)
Xinyu Fu, Irwin King
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. IJCAI (2023)
Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) (2023)
Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR (2023)
Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. WWW (2023)
Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. CoRR (2023)
Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. CoRR (2023)
Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
A Survey of Text Watermarking in the Era of Large Language Models. CoRR (2023)
Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu
A Survey on Deep Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Yuan Xu, Ching Sing Chai, Helen Meng, Savio Wai-Ho Wong, King Woon Yau, Thomas K. F. Chiu, Irwin King, Yeung Yam
An experiential learning approach to learn AI in an online workshop. TALE (2023)
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
Hyperbolic Representation Learning: Revisiting and Advancing. ICML (2023)
Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. WWW (Companion Volume) (2023)
Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR (2023)
Zixing Song, Yuji Zhang, Irwin King
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. CIKM (2023)
Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. AAAI (2023)
Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS (2023)
Menglin Yang, Min Zhou, Hui Xiong, Irwin King
Hyperbolic Temporal Network Embedding. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. IJCAI (2023)
Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
Generalized Category Discovery with Clustering Assignment Consistency. CoRR (2023)
Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu
A Private Watermark for Large Language Models. CoRR (2023)
Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. CoRR (2023)
Zixing Song, Yifei Zhang, Irwin King
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning. NeurIPS (2023)
Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng
Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? CoRR (2023)
Zixing Song, Yifei Zhang, Irwin King
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. NeurIPS (2023)
Xinyu Fu, Irwin King
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. CoRR (2023)
Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily. NeurIPS (2023)
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR (2023)
Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR (2023)
Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King
Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI (2023)
Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. CoRR (2023)
Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King
Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. KDD (2023)
Conghao Xiong, Hao Chen, Joseph Sung, Irwin King
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. CoRR (2023)
Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. IJCAI (2023)
Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu
Practical and Efficient Model Extraction of Sentiment Analysis APIs. ICSE (2023)
Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. CoRR (2023)
King Woon Yau, Ching Sing Chai, Thomas K. F. Chiu, Helen Meng, Irwin King, Yeung Yam
A phenomenographic approach on teacher conceptions of teaching Artificial Intelligence (AI) in K-12 schools. Educ. Inf. Technol. 28 (1) (2023)
Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King
Graph-Based Semi-Supervised Learning: A Comprehensive Review. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
Hyperbolic Representation Learning: Revisiting and Advancing. CoRR (2023)
Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR (2023)
Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue. CoRR (2023)
Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR (2023)
Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. IJCAI (2023)
Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN (2023)
Ziqiao Meng, Yaoman Li, Peilin Zhao, Yang Yu, Irwin King
Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction. SDM (2023)
Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King
1st Workshop on Federated Learning Technologies. WWW (Companion Volume) (2023)
Yaozu Wu, Yankai Chen, Zhishuai Yin, Weiping Ding, Irwin King
A survey on graph embedding techniques for biomedical data: Methods and applications. Inf. Fusion 100 (2023)
Yaoman Li, Irwin King
Neural Architecture Search for Explainable Networks. ECAI (2023)
Minda Hu, Muzhi Li, Yasheng Wang, Irwin King
Momentum Contrastive Pre-training for Question Answering. EMNLP (2022)
Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. CoRR (2022)
Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. CoRR (2022)
Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. AACL/IJCNLP (2) (2022)
Yao Ma, Shilin Zhao, Weixiao Wang, Yaoman Li, Irwin King
Multimodality in meta-learning: A comprehensive survey. Knowl. Based Syst. 250 (2022)
Tao Shen, Zhihang Hu, Zhangzhi Peng, Jiayang Chen, Peng Xiong, Liang Hong, Liangzhen Zheng, Yixuan Wang, Irwin King, Sheng Wang, Siqi Sun, Yu Li
E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction. CoRR (2022)
Minda Hu, Muzhi Li, Yasheng Wang, Irwin King
Momentum Contrastive Pre-training for Question Answering. CoRR (2022)
Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. NAACL-HLT (Findings) (2022)
Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
HICF: Hyperbolic Informative Collaborative Filtering. KDD (2022)
Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu
Towards Efficient Post-training Quantization of Pre-trained Language Models. NeurIPS (2022)
Min Zhou, Menglin Yang, Lujia Pan, Irwin King
Hyperbolic Graph Representation Learning: A Tutorial. CoRR (2022)
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization. CoRR (2022)
Xinyu Fu, Irwin King
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Irwin King